Get hands-on experience designing and building data processing systems on Google Cloud. This course uses lectures, demos, and hands-on labs to show you how to design data processing systems, build end-to-end data pipelines, and analyze data. This course covers structured, unstructured, and streaming data.
Products:
Participants should have:
This course is designed for:
By the end of this course, learners will be able to:
Module 01: Data engineering tasks and components
Module 02: Data replication and migration
Module 03: The extract and load data pipeline pattern
Module 04: The extract, load, and transform data pipeline pattern
Module 05: The extract, transform, and load data pipeline pattern
Module 06: Automation techniques
Module 07: Introduction to data engineering
Module 08: Build a Data Lake
Module 09: Build a data warehouse
Module 10: Introduction to building batch data pipelines
Module 11: Execute Spark on Dataproc
Module 12: Serverless data processing with Dataflow
Module 13: Manage data pipelines with Cloud Data Fusion and Cloud Composer
Module 14: Serverless messaging with Pub/Sub
Module 16: Dataflow streaming features
Module 17: High-throughput BigQuery and Bigtable streaming features
Module 18: Advanced BigQuery functionality and performance
There is no specific certification related to this course.
There are practical labs in this course.
Experience live, interactive learning from the comfort of your home or office with Bilginç IT Academy's Online Instructor-Led Data Engineering on Google Cloud Training in Global. Engage directly with expert trainers in a virtual environment that mirrors the energy and schedule of a physical classroom.
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